Automated Detection of Atrial Fibrillation Based on Time–Frequency Analysis of Seismocardiograms

In this paper, a novel method to detect atrial fibrillation (AFib) from a seismocardiogram (SCG) is presented. The proposed method is based on linear classification of the spectral entropy and a heart rate variability index computed from the SCG. The performance of the developed algorithm is demonst...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2017-09, Vol.21 (5), p.1233-1241
Hauptverfasser:	Hurnanen, Tero, Lehtonen, Eero, Tadi, Mojtaba Jafari, Kuusela, Tom, Kiviniemi, Tuomas, Saraste, Antti, Vasankari, Tuija, Airaksinen, Juhani, Koivisto, Tero, Pankaala, Mikko
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometer Algorithms Arrhythmia atrial fibrillation (AFib) Atrial Fibrillation - diagnosis Automation Cardiac arrhythmia EKG Electrocardiography Entropy Female Fibrillation Frequency analysis Heart rate Heart Rate - physiology Heart rate variability Humans Informatics Kinetocardiography - methods Male microelectromechanical sensor (MEMS) Monitoring Morphology Rhythm Segments seismocardiography (SCG) Signal classification Signal Processing, Computer-Assisted Signal quality Time-frequency analysis
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